{"id":"W6904388104","doi":"10.1371/journal.pone.0267113.s002","title":"Daily discharge (m<sup>3</sup>/s) patterns from 1938 to 2019 in the Canadian River, Oklahoma near Canadian, TX (data are available at https://waterdata.usgs.gov/nwis/uv/?site_no=07228000).","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Training (meteorology); Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002598463,0.0002541559,0.0002157323,0.001950715,0.0006279467,0.0005192927,0.0006863771,0.0002692226,0.01171828],"category_scores_gemma":[0.0009163608,0.0001512561,0.0003678171,0.005684751,0.000257271,0.0003952821,0.0005902171,0.0004519631,0.002002097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004079302,"about_ca_system_score_gemma":0.004834567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9521197,"about_ca_topic_score_gemma":0.9800501,"domain_scores_codex":[0.9997007,0.00002384072,0.00003295801,0.00007599853,0.00007837839,0.00008813395],"domain_scores_gemma":[0.9990875,0.00005597128,0.0002204362,0.00003479505,0.0004640543,0.0001373161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002687998,0.00004083824,0.5039726,0.0005770124,0.0002670689,0.0002107857,0.001106285,0.002054343,0.0005105411,0.001905407,0.4612078,0.02787855],"study_design_scores_gemma":[0.00002258864,0.00001468348,0.948609,0.0001413329,0.00004166011,0.00006805319,0.0009495579,0.0008824219,0.0001491688,0.0001372323,0.04895039,0.0000340028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09547739,0.0003605608,0.0002741018,0.000388393,0.00004736963,0.00002572406,0.8957106,0.0002078466,0.007508003],"genre_scores_gemma":[0.4885633,0.0009740516,0.001665816,0.0002390251,0.0000289039,0.0001298956,0.4926639,0.0001355083,0.01559966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9521197,"threshold_uncertainty_score":0.0963245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745057058389809,"score_gpt":0.2096822062878073,"score_spread":0.1822316357039092,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}